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Modeling the Influence of Disturbances in High-Speed Railway Systems
Joint Authors
Huang, Ping
Wen, Chao
Peng, Qiyuan
Jiang, Chaozhe
Yang, Yuxiang
Fu, Zhuan
Source
Journal of Advanced Transportation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-19
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Accurately forecasting the influence of disturbances in High-Speed Railways (HSR) has great significance for improving real-time train dispatching and operation management.
In this paper, we show how to use historical train operation records to estimate the influence of high-speed train disturbances (HSTD), including the number of affected trains (NAT) and total delayed time (TDT), considering the timetable and disturbance characteristics.
We first extracted data about the disturbances and their affected train groups from historical train operation records of Wuhan-Guangzhou (W-G) HSR in China.
Then, in order to recognize the concatenations and differences of disturbances, we used a K-Means clustering algorithm to classify them into four categories.
Next, parametric and nonparametric density estimation approaches were applied to fit the distributions of NAT and TDT of each clustered category, and the goodness-of-fit testing results showed that Log-normal and Gamma distribution probability densities are the best functions to approximate the distribution of NAT and TDT of different disturbance clusters.
Specifically, the validation results show that the proposed models accurately revealed the characteristics of HSTD and that these models can be used in real-time dispatch to predict the NAT and TDT, once the basic features of disturbances are known.
American Psychological Association (APA)
Huang, Ping& Wen, Chao& Peng, Qiyuan& Jiang, Chaozhe& Yang, Yuxiang& Fu, Zhuan. 2019. Modeling the Influence of Disturbances in High-Speed Railway Systems. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1170228
Modern Language Association (MLA)
Huang, Ping…[et al.]. Modeling the Influence of Disturbances in High-Speed Railway Systems. Journal of Advanced Transportation No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1170228
American Medical Association (AMA)
Huang, Ping& Wen, Chao& Peng, Qiyuan& Jiang, Chaozhe& Yang, Yuxiang& Fu, Zhuan. Modeling the Influence of Disturbances in High-Speed Railway Systems. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1170228
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170228